With the advent of the open data portal for the city of Syracuse came an opportunity previously impossible; anyone could download, mine, and visualize information about Syracuse direct from the source. Over the course of this project, I will be performing these processes on a selection of crime data from 2017 in order to better understand the patterns of crime in Syracuse, where they occur, and if it can be predicted whether or not a crime will lead to an arrest.
This project will begin with an overview of the data, how it was obtained, and the meanings of the variables within. Next, I will begin the process of cleaning and feature engineering so as to optimize the data set for analysis. Following that, I will visualize the different aspects of the data and point out interesting insights I have drawn as a result. Finally, I will attempt to predict whether or not an arrest will occur based off of other variables present within the data.
